Suppression of Doppler Ultrasound Signal Wall Components Based on Local Mean Decomposition Algorithm

Abstract

The low-velocity blood flow signal close to the blood vessel wall is very important for the early diagnosis of vascular diseases. To obtain more accurate low-velocity blood flow signals from the Doppler ultrasound echo signal, this paper proposes a carotid artery low-velocity blood flow signal extraction method based on local mean decomposition (LMD). First, the LMD decomposes the original signal into a series of product terms. Then, based on the instantaneous frequency and amplitude, the blood flow stratification index is constructed to subdivide the blood flow and blood vessel wall signals in the product component. Finally, the signal is reconstructed, thereby achieving the suppression of the clutter signal of the blood vessel wall. Experimental results show that this method could effectively obtain low-velocity blood flow signals.